Bhavik Shangari — Co-Founder

I’m an AI researcher and engineer passionate about building intelligent systems at the intersection of Computer Vision, Large Language Models (LLMs), and Robotics. I’ve had the opportunity to work with leading AI labs at top institutions like the National University of Singapore (NUS) and contribute to industry-driven innovation at Fortune 500 companies such as Assurant. My work spans multimodal Learning, representation learning, Physical AI Agents, all aimed at developing real-world AI agents that can perceive, reason, and act across modalities. 🔹 At the National University of Singapore (NUS), I’m working on i-JEPA-style representation learning, developing predictive architectures that model high-level semantic features rather than low-level pixel reconstructions — pushing forward scalable and context-aware visual understanding. 🔹 At Assurant (Fortune 500), I’m contributing to the development of a Multimodal Foundation Model for Time-Series Forecasting, focusing on interpretability and reasoning — integrating structured temporal data into large-scale, actionable AI systems. These experiences, along with academic research and open-source contributions, reflect my commitment to building AI systems that are both capable and deployable, with broad impact across robotics, healthcare, and embedded intelligence.

Stackforce AI infers this person is a skilled AI researcher with expertise in Multimodal Learning and Computer Vision.

Location: Jaipur, Rajasthan, India

Experience: 6 mos